Publication:
Computer simulations of silicide-tetrahedrite thermoelectric generators

Consultable a partir de

Date

2022

Authors

Coelho, Rodrigo
Branco Lopes, Elsa
Brito, Francisco P.
Gonçalves, Antonio P.

Director

Publisher

MDPI
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

//PDI2021-126926OB-C22
Gobierno de Navarra//PTDC%2FEME-TED%2F7081%2F2020
Gobierno de Navarra//UIDB%2F00319%2F2020

Abstract

With global warming and rising energy demands, it is important now than ever to transit to renewable energy systems. Thermoelectric (TE) devices can present a feasible alternative to generate clean energy from waste heat. However, to become attractive for large-scale applications, such devices must be cheap, efficient, and based on ecofriendly materials. In this study, the potential of novel silicide-tetrahedrite modules for energy generation was examined. Computer simulations based on the finite element method (FEM) and implicit finite difference method (IFDM) were performed. The developed computational models were validated against data measured on a customized system working with commercial TE devices. The models were capable of predicting the TEGs’ behavior with low deviations (≤10%). IFDM was used to study the power produced by the silicide-tetrahedrite TEGs for different ∆T between the sinks, whereas FEM was used to study the temperature distributions across the testing system in detail. To complement these results, the influence of the electrical and thermal contact resistances was evaluated. High thermal resistances were found to affect the devices ∆T up to ~15%, whereas high electrical contact resistances reduced the power output of the silicide-tetrahedrite TEGs by more than ~85%.

Keywords

Computer simulations, Finite element method, Implicit differential method, Magnesium silicides, Silicide-tetrahedrite modules, Tetrahedrites, Thermoelectric devices

Department

Ingeniería / Ingeniaritza / Institute of Smart Cities - ISC

Faculty/School

Degree

Doctorate program

Editor version

Funding entities

This research was supported by Fundação para a Ciência e a Tecnologia (FCT), Portugal, through the contracts UID/Multi/04349/2020 and UI/BD/150713/2020. The authors would like to acknowledge the support of the Spanish Ministry of Science, Innovation and Universities, and European Regional Development Fund, for funding under the PDI2021-126926OB-C22 research project.We would like to acknowledge the support from the Education Department of the Government of Navarra with the Predoctoral Grants for Ph.D. programs of Interest to Navarra and the Official School of Industrial Engineers of Navarre with the scholarship Fuentes Dutor. PTDC/EME-TED/7081/2020 (Project COOLSPOT); UIDB/00319/2020 (MEtRICs Center)

© 2022 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.

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